crrstep (2015-2.1)

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Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model.

Performs forward and backwards stepwise regression for the Proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty of k = log(n*), where n* is the number of primary events.

Maintainer: Ravi Varadhan
Author(s): Ravi Varadhan & Deborah Kuk

License: GPL (>= 2)

Uses: Does not use any package
Reverse suggests: pec

Released over 4 years ago.

7 previous versions



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